Journal
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
Volume 35, Issue 11, Pages 1764-1770Publisher
SAGE PUBLICATIONS INC
DOI: 10.1038/jcbfm.2015.118
Keywords
biomarker; disease-related spatial covariance pattern; Parkinson's disease; resting-state fMRI; SSMPCA
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Funding
- Michael J. Fox Foundation Rapid Response Innovation Awards
- National Science Foundation of China [81071012, 81271429]
- Seed Grant of International Alliance of Translational Neuroscience [PXM2014_014226_000015]
- NIH Morris K Udall Center of Excellence for Parkinson's Disease Research at The Feinstein Institute for Medical Research [P50 NS071675]
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In this study, we sought to identify a disease-related spatial covariance pattern of spontaneous neural activity in Parkinson's disease using resting-state functional magnetic resonance imaging (MRI). Time-series data were acquired in 58 patients with early to moderate stage Parkinson's disease and 54 healthy controls, and analyzed by Scaled Subprofile Model Principal Component Analysis toolbox. A split-sample analysis was also performed in a derivation sample of 28 patients and 28 control subjects and validated in a prospective testing sample of 30 patients and 26 control subjects. The topographic pattern of neural activity in Parkinson's disease was characterized by decreased activity in the striatum, supplementary motor area, middle frontal gyrus, and occipital cortex, and increased activity in the thalamus, cerebellum, precuneus, superior parietal lobule, and temporal cortex. Pattern expression was elevated in the patients compared with the controls, with a high accuracy (90%) to discriminate the patients from the controls. The split-sample analysis produced a similar pattern but with a lower accuracy for group discrimination in both the derivation (80%) and the validation (73%) samples. Our results showed that resting-state functional MRI can be potentially useful for identification of Parkinson's disease-related spatial covariance patterns, and for differentiation of Parkinson's disease patients from healthy controls at an individual level.
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